{"id":"W2014629160","doi":"10.1021/jf0609983","title":"Rapid Identification of Betacyanins from <i>Amaranthus tricolor</i>, <i>Gomphrena globosa</i>, and <i>Hylocereus polyrhizus</i> by Matrix-Assisted Laser Desorption/Ionization Quadrupole Ion Trap Time-of-Flight Mass Spectrometry (MALDI-QIT-TOF MS)","year":2006,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Betalain; Chemistry; Mass spectrometry; Chromatography; Matrix-assisted laser desorption/ionization; Amaranth; Quadrupole ion trap; Food science; Ion trap; Desorption; Pigment; Adsorption","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002206366,0.0002102688,0.0004017187,0.00001898834,0.0001619936,0.00009765748,0.0002652458,0.0001979065,0.0001532754],"category_scores_gemma":[0.00005527732,0.00009098514,0.0001711641,0.0006701677,0.000138191,0.0002446062,0.00004519778,0.0002242968,0.000002551326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003642369,"about_ca_system_score_gemma":0.00001690828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008853572,"about_ca_topic_score_gemma":0.00002132641,"domain_scores_codex":[0.9980865,0.00006079133,0.0008639197,0.0002749618,0.0004674585,0.0002464336],"domain_scores_gemma":[0.9983581,0.000214283,0.0008380745,0.00007326012,0.0003224259,0.0001938865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008788431,0.0002777911,0.001407589,0.00003202479,0.00005739421,6.615799e-7,0.00001348278,0.000003770199,0.9943295,0.00001836256,0.001736176,0.002035352],"study_design_scores_gemma":[0.0005323139,0.0003094166,0.2364282,0.00004588292,0.00008075544,0.0000357996,0.0001540713,0.0000176972,0.7614575,0.0002890692,0.00048491,0.0001643795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942798,0.003566236,0.00004510447,0.001250524,0.00002887399,0.000155463,0.0004984849,0.00001672167,0.0001588029],"genre_scores_gemma":[0.9978409,0.0009880669,0.0002282293,0.00001692959,0.000329614,0.000005434909,0.000327748,0.00000235618,0.0002606667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2350206,"threshold_uncertainty_score":0.3710266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007284740105114667,"score_gpt":0.2018003045706991,"score_spread":0.1945155644655844,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}